Calendar & Lecture Slides

Each topics may span several lectures.  The PowerPoint slides for the current topic will be updated after every lecture.  Once a topic has been completed then the slides for that topic will be complete.

 

number	date	topic	readings	ppt 2002
1.	Jan 9	What is AI? Search, Planning, and Satisfiability	R&N Ch 1, Ch 3, Ch 4, Ch 5.1-5.3, Ch 11 (can skip 11.3)	Part 1 Search and Planning
2.	Jan 16	Search, Planning, and Satisfiability (continued)	R&N Ch 7.2-7.6
3.	Jan 23	Bayesian Networks	R&N Ch 13, 14	Part 2 Bayesian Inference
4.	Jan 30	Bayesian Nets (continued) Information Retrieval	R&N Ch 15.1-2, 15.5, 23.2	Part 3 Information Retrieval
5.	Feb 6	Machine Learning: Decision Trees & Bayesian Learning	R&N Ch 18.1-4, 20.1-3 and/or Mitchell Ch 3, Ch 6*	Part 4 Decision Trees and Bayesian Learning
6.	Feb 13	Machine Learning: Neural Nets & Data Mining Source code for a simple naive Bayes clustering program for Boolean data, using EM	R&N 20.5 and/or Mitchell Ch 4*	Part5 Neural Nets and Data Mining
7.	Feb 20	Decision Making, Planning under Uncertainty, and Reinforcement Learning Book by Sutton & Barto on Reinforcement Learning Paper by Tesauro on TD-Gammon Note showing derivation of TD-Gammon's weight update rule	R&N Ch 16, 17, and 21	Part 6 Decisions Note: slides updated 2/25/03
8.	Feb 27	Natural Language Processing	R&N Ch 15.3, 15.6, 22, 23	Part 7: Natural Language Processing
9.	Mar 6	Project Presentations	Presenters: Email your Powerpoint slides to will@cs.washington.edu no later than noon.
10.	Mar 13	Project Presentations	Presenters: Email your Powerpoint slides to will@cs.washington.edu no later than noon.

* Same basic material on learning is covered in R&N and Mitchell, but Mitchell is more concise in presentation.  Ensemble learning is only covered in R&N 18.4.

Lecture Materials and Video Archives

Lecture slides (.ppt and .pdf) will be available before class.  Course videos will be available the following day.

CXP WebViewer permits the playback of certain enabled archives with instructor tablet annotations.   To use these archives, install and run WebViewer, then use "File menu->Open with Browser," navigate back to this page using WebViewer's browser, and select a link in the WebViewer column below.

Live lectures may also be viewed via Windows Media stream:

• Using WebViewer, open   http://www.cs.washington.edu/events/webcast/live_event_cxp.asx
• Without WebViewer, visit the CSE Live Webcast Page, or alternatively use a stand-alone Windows Media Player.

See http://www.cs.washington.edu/masters/dl_tech/ for details